People are more than rows in your database Most digital services still treat people as “data subjects”: entities to be collected, labelled and processed. That mindset shows up in long privacy notices, one‑way data flows and experiences that assume users will tolerate poor experiences in return for being profiled. When customers feel disempowered or dissatisfied, they opt out or disengage, degrading trust, data quality and ultimately business revenue. A human‑centric approach

Most organisations are increasing their AI spend but are still struggling to turn that money into clear business value. The result - a lot of AI budget quietly leaking away. The current AI spending reality Analysts now talk about AI moving from hype to accountability, where CEOs and CFOs expect proof, not promises. At the same time investment continues to increase because leaders know AI will be a major driver of growth in the future. McKinsey estimates that AI could generate

The Hare and the Tortoise? Over the past three decades, the data landscape has changed beyond recognition. Data professionals have moved from solving basic challenges on structured data to operating in an ecosystem of advanced platforms, diverse data types, cloud infrastructures, and powerful analytics tools. Innovation continues at pace teasing business with new possibilities. Yet while innovation generates excitement and disruption, business fundamentals, whilst not wit

Why AI Needs an IA Architect When we think of artificial intelligence, the spotlight usually falls on complex models, clever algorithms, and bold predictions. But there’s a quieter, often-overlooked factor that determines whether AI delivers real value: information architecture (IA). IA is the way data is structured, categorised, and connected. It’s not glamorous, but it’s the scaffolding that allows AI to stand tall. Without it, even the most advanced technology solution

Often in the world of data we come at the capability based on a 'lets get all the data, sort it out and then use it' approach. What this...

Have you ever compared your own personal life to that of the organisation you work in? I know it's a bit weird...why would you.. Sometimes taking a personal perspective is a useful tool for understanding complexities. Questions such as 'If it were me what would I think?', 'what would be in it for me?', and 'how would my approach compare to theirs?' are useful ways to crystalise your view of certain situations. When it comes to business performance it's actually very similar

Nowadays, more than ever before, it seems the only certain thing is change. As such, being adaptive in this landscape is key to corporate sustainability and success. In business, decisions, actions, and consequences form the backbone of that long term success. All elements must be evidence based and directly linked if we are to prove and improve the effect of our decisions. Decisions set the course for a company strategically and tactically, whether it’s choosing to launch a

(Inspired by Gorillas in the Mist...) The "elephant in the room" is a phrase often used to describe the important if not critical topics of conversation which are strangely absent or avoided. One that we observe in business is the small matter of saving the planet through optimising sustainable practices. Whilst organisations often introduce and wax lyrical about their initiatives to show how eco conscious their brand is the reality is that their operations are not focussed o

Just as real intelligence comes from having formed beliefs on a knowledge base developed through life Artificial Intelligence requires a reliable knowledge base to learn from. Data products are critical for many AI applications because they represent the essential building blocks for developing intelligent systems. Quite simply without good data foundations AI would not be intelligent at all and would erode business value rather than add to it. This is not to say that busines

Historically, business success has been primarily focussed on financial metrics but these days focussing on the Triple Bottom Line (TBL) is increasing in importance and will continue to in the future. The Triple Bottom Line is a robust measurement framework applicable to most businesses. Unlike traditional models that focus solely on profit, TBL emphasises and balances three core pillars: People, Planet, and Profit. People - Prioritising social responsibility ensures fair wo

In business, every decision carries weight. Without data, these decisions are reduced to educated guesses at best and blind risks at worst. Data provides the clarity and context needed to make informed choices that drive success. Accurate and reliable data illuminates patterns, reveals opportunities, and mitigates risks. Whether it’s understanding customer preferences, forecasting trends, or optimizing operations, data transforms uncertainty into actionable insight. Data-driv

Digital transformation promises innovation and growth, but its success hinges on one critical factor: data transformation. Without addressing the state of your data, ambitious digital strategies will fall short. Data transformation begins with accuracy. Clean, complete, and current data ensures that digital tools and platforms deliver meaningful results. Errors or inconsistencies in data can lead to poor decisions and diminished trust. Equally vital is how data is structured

When it comes to customer data, there’s no shortcut to success. Businesses often rush to implement advanced analytics or predictive modeling. However, without solid data foundations, these efforts can crumble, leading to poor outcomes. Customer data basics start with accuracy. Ensuring your data is clean, complete, and up-to-date is crucial. Duplicate records or missing fields can skew insights and erode trust. Regular data maintenance—from validation to deduplication—is esse